IEICE TRANSACTIONS on Fundamentals
Binaural Sound Source Localization in Noisy Reverberant Environments Based on Equalization-Cancellation Theory
Summary :
Sound source localization (SSL), with a binaural input in practical environments, is a challenging task due to the effects of noise and reverberation. In psychoacoustic research field, one of the theories to explain the mechanism of human perception in such environments is the well-known equalization-cancellation (EC) model. Motivated by the EC theory, this paper investigates a binaural SSL method by integrating EC procedures into a beamforming technique. The principle idea is that the EC procedures are first utilized to eliminate the sound signal component at each candidate direction respectively; direction of sound source is then determined as the direction at which the residual energy is minimal. The EC procedures applied in the proposed method differ from those in traditional EC models, in which the interference signals in rooms are accounted in E and C operations based on limited prior known information. Experimental results demonstrate that our proposed method outperforms the traditional SSL algorithms in the presence of noise and reverberation simultaneously.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E97-A No.10 pp.2011-2020
- Publication Date
- 2014/10/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E97.A.2011
- Type of Manuscript
- PAPER
- Category
- Engineering Acoustics
Authors
Thanh-Duc CHAU
Japan Advanced Institute of Science and Technology (JAIST)
Junfeng LI
Chinese Academy of Sciences
Masato AKAGI
Japan Advanced Institute of Science and Technology (JAIST)
Keyword
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Thanh-Duc CHAU, Junfeng LI, Masato AKAGI, "Binaural Sound Source Localization in Noisy Reverberant Environments Based on Equalization-Cancellation Theory" in IEICE TRANSACTIONS on Fundamentals,
vol. E97-A, no. 10, pp. 2011-2020, October 2014, doi: 10.1587/transfun.E97.A.2011.
Abstract: Sound source localization (SSL), with a binaural input in practical environments, is a challenging task due to the effects of noise and reverberation. In psychoacoustic research field, one of the theories to explain the mechanism of human perception in such environments is the well-known equalization-cancellation (EC) model. Motivated by the EC theory, this paper investigates a binaural SSL method by integrating EC procedures into a beamforming technique. The principle idea is that the EC procedures are first utilized to eliminate the sound signal component at each candidate direction respectively; direction of sound source is then determined as the direction at which the residual energy is minimal. The EC procedures applied in the proposed method differ from those in traditional EC models, in which the interference signals in rooms are accounted in E and C operations based on limited prior known information. Experimental results demonstrate that our proposed method outperforms the traditional SSL algorithms in the presence of noise and reverberation simultaneously.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E97.A.2011/_p
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@ARTICLE{e97-a_10_2011,
author={Thanh-Duc CHAU, Junfeng LI, Masato AKAGI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Binaural Sound Source Localization in Noisy Reverberant Environments Based on Equalization-Cancellation Theory},
year={2014},
volume={E97-A},
number={10},
pages={2011-2020},
abstract={Sound source localization (SSL), with a binaural input in practical environments, is a challenging task due to the effects of noise and reverberation. In psychoacoustic research field, one of the theories to explain the mechanism of human perception in such environments is the well-known equalization-cancellation (EC) model. Motivated by the EC theory, this paper investigates a binaural SSL method by integrating EC procedures into a beamforming technique. The principle idea is that the EC procedures are first utilized to eliminate the sound signal component at each candidate direction respectively; direction of sound source is then determined as the direction at which the residual energy is minimal. The EC procedures applied in the proposed method differ from those in traditional EC models, in which the interference signals in rooms are accounted in E and C operations based on limited prior known information. Experimental results demonstrate that our proposed method outperforms the traditional SSL algorithms in the presence of noise and reverberation simultaneously.},
keywords={},
doi={10.1587/transfun.E97.A.2011},
ISSN={1745-1337},
month={October},}
Copy
TY - JOUR
TI - Binaural Sound Source Localization in Noisy Reverberant Environments Based on Equalization-Cancellation Theory
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2011
EP - 2020
AU - Thanh-Duc CHAU
AU - Junfeng LI
AU - Masato AKAGI
PY - 2014
DO - 10.1587/transfun.E97.A.2011
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E97-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2014
AB - Sound source localization (SSL), with a binaural input in practical environments, is a challenging task due to the effects of noise and reverberation. In psychoacoustic research field, one of the theories to explain the mechanism of human perception in such environments is the well-known equalization-cancellation (EC) model. Motivated by the EC theory, this paper investigates a binaural SSL method by integrating EC procedures into a beamforming technique. The principle idea is that the EC procedures are first utilized to eliminate the sound signal component at each candidate direction respectively; direction of sound source is then determined as the direction at which the residual energy is minimal. The EC procedures applied in the proposed method differ from those in traditional EC models, in which the interference signals in rooms are accounted in E and C operations based on limited prior known information. Experimental results demonstrate that our proposed method outperforms the traditional SSL algorithms in the presence of noise and reverberation simultaneously.
ER -
English
